About this opportunity
Capital One lists this Senior Lead Software Engineer, Full Stack (Enterprise Platform Technology) opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Position Overview
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Who We Are
Capital One’s Enterprise Platforms Technology builds and operates many of Capital One’s most important enterprise platforms. We establish engineering practices, reusable platform capabilities, and production‑ready patterns that help teams deliver reliable, secure, and scalable technology solutions across the company. The AI Harness Engineering team is focused on enabling governed AI‑native software delivery. We build the tools, contracts, evaluation systems, and release controls that allow engineering teams to use approved AI models and coding agents with enterprise‑grade quality, traceability, and operational discipline.
What You’ll Do
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full‑stack systems to create solutions that help meet regulatory needs for the company
Lead the design and implementation of AI‑native software engineering harnesses that use approved models, coding agents, and developer workflows in governed control‑plane capabilities
Build agentic workflow orchestration systems that support planning, code generation, validation, retry loops, human checkpoints, and controlled promotion through delivery environments
Define and implement typed input/output contracts, schemas, metadata capture, and workflow state models that make agentic execution auditable and repeatable
Develop trace capture, observability, and debugging capabilities for AI‑assisted engineering workflows, including prompt/output lineage, tool‑call traces, model/runtime metadata, and failure analysis
Integrate evaluation results into CI/CD and release workflows, including quality gates for fidelity, build correctness, accessibility, security, performance, and human‑review outcomes
Build reusable APIs, services, developer tooling, dashboards, and reference implementations that enable teams to adopt AI‑native engineering practices consistently
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Collaborate with digital product managers, and deliver robust cloud‑based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Partner with application teams to migrate complex software and digital experiences using governed agentic workflows, while preserving engineering quality, customer experience, and enterprise controls
Collaborate with Cyber, Risk, Responsible AI, Architecture, Product, and Platform teams to ensure solutions meet enterprise standards for security, auditability, compliance, and operational readiness
Write architecture proposals, design documents, runbooks, and technical guidance that help scale harness engineering patterns across teams
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Basic Qualifications
Bachelor’s Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications
Master’s Degree
9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
4+ years of experience utilizing open‑source frameworks to build production‑grade applications.
4+ years of experience with cloud‑native architectures, microservices, APIs, containers, Kubernetes, serverless platforms, or event‑driven systems using AWS, GCP, or Microsoft Azure.
2+ years of experience with CI/CD, automated testing, quality gates, developer productivity platforms, or observability frameworks (such as OpenTelemetry for logging, metrics, tracing, and dashboards).
2+ years of experience working within an Agile delivery environment utilizing Agile practices and frameworks.
1+ years of experience integrating LLM APIs, building application workflows around generative models, or deploying AI‑assisted developer tools into production or enterprise software workflows.
1+ years of experience building or operating software evaluation frameworks, automated testing runners, regression test suites, or telemetry pipelines, schema‑driven development, or workflow orchestration.
1+ years of people management experience
Experience collaborating with cybersecurity, risk, compliance, or data governance stakeholders to deliver software within a regulated enterprise environment.
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Salaries
New York, NY: $250,800 - $286,200 for Sr. Lead Software Engineer
This role is eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non‑discretionary depending on the plan.
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.
Equal Opportunity Employer
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.